Mercurial > pylearn
comparison doc/v2_planning/datalearn.txt @ 1364:01157763c2d7
Reply to Razvan
author | Olivier Delalleau <delallea@iro> |
---|---|
date | Fri, 12 Nov 2010 11:36:30 -0500 |
parents | 18b2ebec6bca |
children | 049b99f4b323 |
comparison
equal
deleted
inserted
replaced
1363:18b2ebec6bca | 1364:01157763c2d7 |
---|---|
217 the pipeline logic is separated from the data, so you can use the same | 217 the pipeline logic is separated from the data, so you can use the same |
218 transformation with different data easily, while in (1) you write the | 218 transformation with different data easily, while in (1) you write the |
219 transformation rooted in a dataset, and if you want same transformation | 219 transformation rooted in a dataset, and if you want same transformation |
220 for a different dataset you have to re-write everything. | 220 for a different dataset you have to re-write everything. |
221 | 221 |
222 OD replies: Still not sure I understand. If you have a "graph" function that | |
223 takes a dataset as input and outputs a new dataset, you can use this same | |
224 function with both (1) and (2). With (2) it is: | |
225 theano.function([index], graph(my_dataset)[index].variable) | |
226 while with (1) the same function is compiled implicitly with: | |
227 for sample in graph(my_dataset): | |
228 ... | |
222 | 229 |
223 - in approach (1) the initial dataset object (the one that loads the data) | 230 - in approach (1) the initial dataset object (the one that loads the data) |
224 decides if you will use shared variables and indices to deal with the | 231 decides if you will use shared variables and indices to deal with the |
225 dataset or if you will use ``theano.tensor.matrix`` and not the user( at | 232 dataset or if you will use ``theano.tensor.matrix`` and not the user( at |
226 least not without hacking the code). Of course whoever writes that class | 233 least not without hacking the code). Of course whoever writes that class |